SparseM: A Sparse Matrix Package for R *

Roger Koenker and Pin Ng

Journal of Statistical Software, 2003, vol. 008, issue i06

Abstract: SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the package is illustrated by a family of linear model fitting functions that implement least squares methods for problems with sparse design matrices. Significant performance improvements in memory utilization and computational speed are possible for applications involving large sparse matrices.

Date: 2003-02-28
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Citations: View citations in EconPapers (8)

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https://www.jstatsoft.org/index.php/jss/article/view/v008i06/SparseM.pdf
https://www.jstatsoft.org/index.php/jss/article/do ... /SparseM_0.20.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... 6/SparseM_manual.pdf

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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:008:i06

DOI: 10.18637/jss.v008.i06

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